1,721,006 research outputs found
An efficient perceptual color indexing method for content-based image retrieval using uniform color space
No full textDominant Color Descriptor (DCD) is one of the famous descriptors in Content-based image retrieval (CBIR).Sequential search is one of the common drawbacks of most color descriptors especially in large databases.In this paper, dominant colors of an image are indexed to avoid sequential search in the database where uniform RGB color space is used to index images in LUV perceptual color space.Proposed indexing method will speed up the retrieval process where the dominant colors in query image are used to reduce the search space.Additionally, the accuracy of color descriptors is improved due to this space reduction. Experimental results show effectiveness of the proposed color indexing method in reducing search space to less than 25 % without degradation the accuracy
Distinguishing twins by Gait via Jackknife-Like validation in classification analysis
No full textThis paper is about analysing the uniqueness of twins by gait biometric. The motivation arises due to twins, having facial similarity may lay difficulties to a video-based recognition system employing face biometric. Gait, a biometric based on the way a person walk, can perhaps be a useful descriptor. Due to the small size data set, classification via leave-one-out cross validation may not be sufficient to test gait’s viability as a descriptor for twins. Thus, this paper proposes a jackknife-like validation in a matched-pair classification. Comparing between the results of both validation approaches, results of the proposed method have shown to be promising. The results perhaps may point to the uniqueness of each individual twin by gait biometric
Parallel full HD video decoding for multicore architecture
No full textNowadays, the multicore architecture is adopted everywhere in the design of contemporary processors in order to boost up the performance of multitasking applications. This paper mainly exploits the multicore capability for full HD video decoding speedup to meet realtime display. Hantro 6100 H.264 decoder is chosen as the reference decoder. The serial decoding algorithm in the Hantro 6100 H.264 decoder is replaced with a parallel decoding algorithm. In this research work, macroblock level parallelism is implemented using the enhanced version of macroblock region partitioning (MBRP) is implemented for the parallel video decoding of H.264 video. The results show that the workloads are well-balanced among the processor cores. It is observed that the maximum speedup values are attained when the decoder is running with 4 threads on a 4 core system and 8 logical core system configuration. Moreover, it is also observed that there is no degradation of visual quality throughout the decoding process
Efficient access of replicated data in distributed database systems
Get PDFReplication is a useful technique for distributed database systems where a data
object will be accessed (Le., read and written) from multiple locations such as
from a local area network environment or geographically distributed world wide.
This technique is used to provide high availability, fault tolerance, and enhanced
performance.
This research addresses the performance of data replication protocol in terms of
data availability and communication costs. Specifically, this thesis present a new
protocol called Three Dimensional Grid Structure (TDGS) protocol, to manage
data replication in distributed database systems (DDS). The TDGS protocol is
based on the logical structure of sites/serquorum in the DDS. The protocol provide high availability for read and write
operations with limited fault-tolerance at low communication cost. With TDGS
protocol, a read operation is limited to two data copies, while a write operation is
required with minimal number of copies. In comparison to other protocols, TDGS
requires lower communication cost for an operation, while providing higher data
availability .
A system for building reliable computing over TDGS Remote Procedure (TDGSRP)
system has also been described in this research. The system combines the
replication and transaction techniques and embeds these techniques into the
TDGS-RP system. The model describes the models for replicas, TDGS-RP,
transactions, and the algorithms for managing transactions, and replicas
Preface
No full textThe Journal of Science and Technology is a biannual referred journal which publishes original research papers in all areas of science and technology. Research areas include traditional subjects such as Physics, Mathematics, Biology, Chemistry and Computer Science. Papers relating directly or indirectly to all aspects of these fields are welcome. The journal is intended to provide a forum for the expression of new ideas, as well as a place for exposition of these areas of knowledge. We would like to thank the authors for submitting their papers to this journal. We are grateful to the referees for their work in ensuring the high quality of the submissions. Finally, we would like to thank the UTHM Publisher’s staff for their help to make thi issue possible
Decision support model in determining factors and its dominant criteria affecting cholesterol level based on rough-regression (Hasil Cek Similarity)
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Non-Probabilistic Inverse Fuzzy Model in Time Series Forecasting
Get PDFMany models and techniques have been proposed by researchers to improve forecasting accuracy
using fuzzy time series. However, very few studies have tackled problems that involve inverse fuzzy
function into fuzzy time series forecasting. In this paper, we modify inverse fuzzy function by
considering new factor value in establishing the forecasting model without any probabilistic
approaches. The proposed model was evaluated by comparing its performance with inverse and non�inverse fuzzy time series models in forecasting the yearly enrollment data of several universities, such
as Alabama University, Universiti Teknologi Malaysia (UTM), and QiongZhou University; the yearly
car accidents in Belgium; and the monthly Turkish spot gold price. The results suggest that the
proposed model has potential to improve the forecasting accuracy compared to the existing inverse
and non-inverse fuzzy time series models. This paper contributes to providing the better future forecast
values using the systematic rules.
Keywords: Fuzzy time series, inverse fuzzy function, non-probabilistic model, non-inverse fuzzy
model, future forecas
Prediction of Malaysian–Indonesian Oil Production and Consumption Using Fuzzy Time Series Model (Hasil Check Similarity)
Get PDFAn effect of simplifying magic rules for answering recursive queries in deductive databases
Get PDFThe basic magic sets transformation algorithm for rewriting logical rules in deductive databases is very clear and straightforward. However, rules generated by the algorithm for answering queries are too many compared to the original rules. Therefore, it is useful to simplify the generated rules before they are evaluated. This paper reports the study on the effect of simplifying such rules from the aspect of computing time. It is concluded that the improvement as a result of simplification is quite significant
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